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I am optimizing a protocol to inject dsRNA (in vitro transcribed) into juveniles of a marine worm. I synthetized dsRNA by using the HiScribe kit; the reaction contained an amplicon (a PCR product) with the forward and reverse primers having the T7 promoter at both ends. I have stored the in vitro transcribed dsRNA in the freezer (-80 C) and it is diluted with nuclease free water. Do I have to do an annealing step for the dsRNA (after thawing it) before injecting it? or is it possible to inject the dsRNA without the annealing step? I read many protocols and there are different opinions about it.
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I think you can proceed with your micro-injection, once you check the presence of your target gene using electrophoresis.
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As someone engaging in ethnographic research, are we expected to disclose transcribed data to the journal where we would like publish an article?
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It's not a common practice. What I do know is that you could be asked to attach the interview questions used to generate the data but not the transcripts. Perhaps during submission, you are asked to make your data available. There are ways to answer that questions by
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I am soon to begin writing my thesis as the culmination of my master's studies in Clinical Nursing. I would like to explore nurses' experiences and, therefore, plan to conduct interviews. I aim to take a phenomenological-hermeneutic approach but use Braun and Clarke's Thematic Analysis as a method of finding themes in then transcribed text. However, I find it a bit challenging to determine whether this is feasible, as phenomenology and hermeneutics have their own methods for analyzing transcribed text. For instance, is it possible to employ Heidegger's philosophy as a theoretical framework, but use Thematic Analysis as the method to identify the themes in the transcribed text?
I hope some one can help to clarify.
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If you use interpretive phenomenology, you can code and analyze your data purposefully by identifying the phenomenological (the experience itself), idiographic, and interpretive components as your themes and then discuss that keeping in mind the unique and common experi
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How would you go about transcribing and coding data collection done in Arabic (Lebanese) if analysis is to be done in French or English?
would you transcribe 1st to Arabic and code in Arabic then analyse in French or English ? Or would it be feasible and scientifically acceptable to transcribe directly in one of the 2 languages, code in French or English and then analyze in one of these languages?
It is important to note that when interviewing in Lebanese, most respondents will use in their and some times mix in one sentence Arabic, French and English. Moreover, no qualitative software (NVivo, Atlas-ti...) can be used in these conditions.
We have been debating on this issue for a long time trying to find a scientific valid option.
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Hello Michele Kosremelli Asmar , I came across your post about qualitative data collection in Arabic and the subsequent analysis in French or English. I'm curious to know what approach you eventually adopted and what feedback or suggestions the jury provided. Could you please share the outcome or any insights gained from your deliberations on this matter?
I am conducting a research adopting a thematic method for analysis, and my data is in Moroccan Darija, a dialect of Arabic spoken in Morocco and I opted to translate my data just like you and I am afraid I can't use either Nvivo or Atlas Ti for coding the data.
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My initial study used literature review along with semi-structured interviews as research methods and involved the following main steps:
(i) Gathering information by reviewing the relevant literature;
(ii) Gathering information through a series of in-depth semi-structured interviews;
(iii) Transcribing, checking and cross-checking the answers received during the interviews;
(iv) Analysing the answers received during the interviews and the information collected through the literature review;
(v) Summarizing the information gathered and drawing conclusions.
I have published the results received in conference proceedings and am now thinking of converting them into a journal article. For this purpose I would like to expand the research through converting qualitative data into quantitative values. Who could advise on what are the best ways to achieve this objective. Thank you!
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A lot depends on where you want to publish, and thus who your reviewers will be. In particular, if you want to do counts on your qualitative data, then you should have a we'll-designed codebook, calculations of inter-coder agreement, and a strong basis in this kind of content analysis.
Alternatively, if you want to publish in a more qualitatively oriented journal, there is little to be gained by counting, since the reviewers will expect a more subjective interpretation via a process such as thematic analysis.
Either way, I would not recommend counting interviews (how many participants did or did not receive a code) because your sample will size will be too small to support meaningful results.
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I am trying to transfect HEK293 cells with dCas9-KRAB-DNMT3A carrying plasmid and multiple IVT sgRNAs. RNAi max invitrogen and Hiperfect Qiagen are only good for small RNAs but not plasmids. Does anyone have experience with a reagent that allows uptake of both plasmid and RNA?
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Transfecting HEK293T cells with in vitro transcribed (IVT) sgRNA and a plasmid carrying a dCas9 backbone requires an efficient transfection reagent to ensure successful delivery of the genetic material into the cells. The choice of transfection reagent can significantly impact transfection efficiency and cell viability. Lipid-based transfection reagents are commonly used for this purpose. One of the most popular choices is Lipofectamine 2000, but there are other alternatives as well. Here are a few options:
  1. Lipofectamine 2000: Lipofectamine 2000 is a widely used cationic lipid-based transfection reagent that is known for its high transfection efficiency. It works well for a variety of cell types, including HEK293T cells. It's compatible with both DNA and RNA transfections.
  2. Lipofectamine CRISPRMAX: This is a specialized reagent from Thermo Fisher Scientific designed specifically for CRISPR/Cas9 applications, including delivering Cas9 plasmids and sgRNAs. It can be a good choice for this type of transfection.
  3. PEI (Polyethylenimine): Polyethylenimine is a cationic polymer-based transfection reagent. PEI can provide high transfection efficiency and is relatively cost-effective. However, it's essential to optimize the concentration and formulation to avoid cytotoxicity.
  4. JetPRIME: JetPRIME is another transfection reagent that works well for DNA and RNA transfections in HEK293T cells. It is known for its ease of use and good transfection efficiency.
  5. Fugene HD: Fugene HD is another cationic lipid-based transfection reagent with good transfection efficiency. It is compatible with a wide range of cell types, including HEK293T cells.
  6. Neon Transfection System: If you have access to electroporation equipment like the Thermo Fisher Neon Transfection System, you can consider electroporation as an alternative method. Electroporation can be very efficient for introducing genetic material into cells.
When choosing a transfection reagent, it's important to consider the specific requirements of your experiment, such as the cell type, the amount of genetic material, and the presence of any additives or modifications in your sgRNA or Cas9 plasmid. Additionally, perform transfection optimization experiments to determine the best conditions for your particular setup, as the ideal reagent and protocol may vary from one lab or experiment to another. Always follow the manufacturer's guidelines and recommended protocols for the transfection reagent you select.
Regenerate
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Good morning everyone.
Does anyone know a free program to transcribe interviews to text while it's recording in real time in a simultaneous way?
Thank you so much.
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I don't know why you would need simultaneous transcription. You could get an electronic recording of an interview transcribed afterwards in a few hours at most.
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A polymerase enzyme must be needed to transcribe a RNA or replicate a DNA sequence a. But how the 1st polymerase was produced from the genetic material when the ancient cell was born?
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That is a question that is often debated. Some believe that zeolite minerals were involved in the first RNA polymerizations leading to the RNA world hypothesis. The RNA is then thought to have catalyzed peptide formation with compartmentalization using lipid membranes having come last.
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When I attempted to identify Sclerotium rolfsii var. delphinii, the ITS (Internal Transcribed Spacer) primer sequence did not provide sufficient specificity. Morphology characterization alone was not accurate to differentiate between S. rolfsii and S. rolfsii var. delphinii.
I am now wondering if there are any researchers currently studying these pathogens.
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Kouadri Mohamed El Amine Thank you so much for the information. I greatly appreciate it. Is there any way you can provide me with the primer sequence for LSU?
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I am in the process of transcribing audio from YouTube videos as part of my PhD dissertation. Meanwhile I have faced several obstacles on the way among which are noise, double speakers, muffled speech, unidentified words, and more. I will be very grateful, if you be kind and suggest the best ways I can overcome those obstacles and continue my work.
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If I'm not wrong, we need some information to help. So you have to specify the spoken language of your videos. For English, there is a good possibility to get a consistent transcripts by t
Chatgpt api. Concerning arabic videos transcription, there is a quite good api in haggiface
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I am in the process of transcribing several videos on You Tube to text. Meanwhile, I have faced several problems among which are vague sounds, interruptions, double speakers, muffled sounds, and unidentified words. I will be very grateful, If you be kind and suggest the best ways I can overcome those obstacles and continue my work smoothly.
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My experience on extracting the sound files from youtube videos are not fresh. However, I have extracted data like helicopter noise and violin sounds for analysis using «grabbing» software for the purpose. I bought thre package and it could also get the video files. These sound files have had fine quality. I guess these are what you need for getting the text via a third tool.
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To perform a two-step RT-qPCR (starting material is RNA, then reversed transcribed to cDNA followed by cDNA amplification), do we have to design the sequence-specific primers for cDNA amplification in the 2nd step with reference to the mRNA sequence or the cDNA sequence?
Conversely, in the one-step method, as the primers should be gene-specific, should they be designed with reference to the exons in the mRNA sequence. Can anybody please help me with these two questions??
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Hope it will help answer your worries.
Good luck
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Hi!
I am actually start working with HERVs and other endogenous viruses and try to verify them on qPCR bases (depending on what part is transcribed in defined setting e.g.). Therefore i need the genomic sequences of different HERVs and other TE- elements with annotations (e.g. LTR-gag-pol-env-LTR), so I am able to design primers for different parts. Only thing i found is giri repbase, sadly our university does not have a subscription. Does someone of you has ideas, where i can get annotated consensus sequences for TE- elements and HERVs?
Thank you!
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You must to study insilico analysis firstly through GenBank database. So, you can understand the gene structure doe to the target sequence do you want... thanks
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I read papers about in vitro transcribed RNA. What is the difference between in vitro transcribed RNA and commercially purchased RNA?
Thanks
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You can purchase in-vitro transcribed RNA commercially. So that question doesn't make too much sense. What are you really trying to ask?
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I am doing the researcher and need to know if there is transcribing program that I can download and use it easily.
Both the English and Korean language are in the same voice-file and I need to transcribe both of these languages.
Is there any program I can use for my research?
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ELAN, software allows you to store video/ audio file, annotate and transcribe files. at the end it can do language analysis as well. parts of speech etc...
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I will be interviewing clergy members.
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ELAN, software allows you to store video/ audio file, annotate and transcribe files. at the end it can do language analysis as well. parts of speech etc...
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Hi,
I am trying to study a splice site mutation using Mini gene assay following the paper attached here. I am trying to synthesize my mini gene using the set of commands mentioned in the paper. But in my output sequence, my mutation is lying before the start codon and hence won't be transcribed. I checked the author's output sequence, their mutation was after the start codon. can anybody please help me in rectifying it.
My commands:
R --slave --vanilla --args -refdirectory D:/Vanya/SplicingVariants_Beta-master/ssfiles -mutfile D:/Vanya/SplicingVariants_Beta-master/mutfile_Vanya.txt -output D:/Vanya/SplicingVariants_Beta-master/Vanya_output.txt -gblocksubmit D:/Vanya/SplicingVariants_Beta-master/Vanya_gBlock_output.txt -ss3 -barcode AA,AT,AG,AC,TA,TT,TG,TC,GA,GT,GG,GC,CA,CT,CG,CC -seq5 TTACGCCAAGTTATTTAGGTGACA -seq3 XXATCTAGATAACTGATCATAATCAGCCATACCACATTTGT -id 6,2 -limitintron 100000 -limit2ndexon 10000 -limit1stexon 10000 -usehg19 D:/Vanya/SplicingVariants_Beta-master/usehg19 <D:/Vanya/SplicingVariants_Beta-master/ConstructDesigner.v.0.95.R
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Can I ask, what benefit do you see in using the R program for designing the minigene? Doing a from-start design, or starting on the primary suggestion, you may just place a start codon wherever it's useful.
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I conducted data collection (20 interviews in Sepedi Language) as part of my Ph.D. studies. All interviews were transcribed then translated to English.
So i would like to know that out of 20 transcripts how many should i back-translated to Sepedi to ensure/check accuracy?
Any literature recommendations will be appreciated
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I would recommend ten percent of all your interview transcripts. For example, 10% of 20 transcripts would be 2 transcripts, which to me is enough for the credibility and confirmability of your findings.
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Hi all,
I'm currently in the process of working on DIG-labeled mRNA probe transcription. I've done this successfully plenty of times, but the process never fails to create new ways to stump me, and I'm having trouble solving this one. I ligated my fragment into a PGEM T Easy vector and digested with SpeI for T7 and SphI for Sp6. I checked to make sure neither recognition sequence is in my fragment. I sequenced my plasmid after miniprep, and the sequences were perfect. The digest looked fine (photo attached) with the SpeI and SphI fragments both at the same, correct size. Only weird part is that the uncut plasmid ran slower that the cut plasmids, which has never happened. Issue persisted with replication. But that's aside the point. My PI told me to transcribe anyway since the cut plasmids were all the correct size.
I first transcribed last week, and the T7 looked perfect. Sp6 did not. I know that RNA can take multiple conformations, but I've never seen the bands look like this when that happens. Our T7 polymerase is pretty new, but Sp6 is a bit older, so my PI had me order a new tube. I tried again yesterday, re-transcribing both T7 and Sp6. T7 still looked perfect, but Sp6 did the same weird thing, just more intensely. It's hard to see on the gel because the second Sp6 transcription is so bright, but the bands are the same sizes for the Sp6 probe on both runs.
If it's a case of multiple conformations of RNA, I don't really understand why only Sp6 would be displaying it in both rounds of transcription. I have a feeling that my PI will suspect issues with the restriction enzyme and have me order more, but I want to explore any other avenues.
Any thoughts about what's going on here will be greatly appreciated.
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Didier Poncet this would make a lot of sense. We usually use NcoI for Sp6, which leaves a 5’ overhang, but the recognition sequence is in my fragment. I have some plasmids that have my fragment backwards. For my sense probe, I’m just going to cut those with SpeI and transcribe with T7, but this is extremely helpful information moving forward. I don’t know how long it would have taken me to figure that out on my own. Neither my PI nor the lab tech in the adjacent lab knew that the overhang made a difference! Thank you so much!!
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I am building some plasmids with the goal to drive expression of a fairly long operon with a tetracycline-on system in bacteria. The plasmid looks correct, but it is not driving the expected phenotype. I am currently working through troubleshooting why this may be the case. One possibility I am considering is that the entire operon may not be getting transcribed. I have been attempting to search the literature for information on how long of a transcript a TRE can produce, without luck. Can anyone with experience working with tetracycline inducible systems provide some insight into this question?
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Depends on the promoter you are using which is being regulated by the TREs. The promoter determines which type of RNA polymerase is recruited and that determines the transcript length limits. TREs are not promoters by themselves.
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Many of the interview software packages, like Dragon Speak, will record and transcribe the interview and seem to work all right with a one-on-one interviews but seem to break down when there is a focus group with multiple speakers.
Does anyone have any suggestions on software that will work well with recording and transcribing a focus group?
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Thank you for sharing the question and valuable answers.
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Does anyone know any real free online tool, software, or application for the purpose of transcribing recorded conversation and audio files?
I'm conducting conversational analysis research based on a corpus collected from EFL learners. I'm beginning to wonder if there is any free online tool for the transcription of audio files?
I'll be grateful if anybody can help
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Try google cloud speech-to-text - speech recognition (when you register in google cloud, they give you some free minutes to transcribe).
Try also https://trint.com/ , https://www.happyscribe.co/ and https://sonix.ai/ . In all of them the duration of free transcribed files is limited but you can register several times with different e-mails...
Best of luck!
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My supervisor retired, but I am confused about the current method I have used to analyse data, I am wondering if anybody can help?
I have transcribed the interviews, followed by manually coding them paragraph by paragraph to create codes. Then organised the codes into higher-order categories, eventually into 5 themes.
Which method is this? Thanks!
best,
Nicole
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Constant comparison method is part of key techniques in grounded theory, from the limited information you shared it doesn't look like you're doing GT, so possibly you can search into the direction of thematic analysis or qualitative content analysis. Good luck in your research.
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The internal transcribed spacer is a molecular identification method used to identify fungi, my question is:
Can I use this method to identify Fusarium oxysporum species complex?
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It appears that the PCR-RFLP method used in the present study produces a sufficient restriction profile for differentiation of the most agriculturally significant Fusarium species.
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Im using mMESSAGE mMACHINE T7 ULTRA Transcription Kit to transcribe my DNA. It produced 30 ng/ul which is 750 ng although the kit promises to yield atleast 15-20 ug of RNA. Even the control DNA provided in the kit produced 6.2 ug RNA. I followed the protocol as it was instructed. Kindly share tips to increase the yield upto 10 ug atleast. TIA!
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As the previous answer mentioned, you can increase the time of the reaction. For T7 RNAP, I typically use 6-8 hours at 37oC. Make sure you have sufficient amount of NTPs for long reaction times. Likewise, you can increase the volume of reaction and consolidate
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Hi,
Has anyone tried commercial kits for polyA tailing of in vitro transcribed mRNA (e.g. NEB E.coli polymerase kit)? I keep getting inconsistent results, some mRNAs were tailed but some are not, despite the reactions being set up in parallel. Is this a common problem for polyA tailing using E. coli polymerase? thanks!
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Are your samples all the same quality before you start the tailing protocol?
I cant see no reason for the protocol to work only with some samples other than the samples have different degrees of contamnation
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Hi all,
I'm working with an RNA-seq data set consisting of a large number of samples, sequenced at around 50-80M reads. There's a bit of uncertainty as to what the precise experimental workflow was for generating these data, but my best understanding at the moment is that the TruSeq RNA sample preparation kit was used (https://www.illumina.com/documents/products/datasheets/datasheet_truseq_sample_prep_kits.pdf).
This kit starts with total RNA, uses oligo-dT beads to bind polyA+ mRNA, then fragments the mRNA and carries out cDNA synthesis with random hexamer primers.
The data I've seen thus far show a very strong bias towards the 3' end of transcripts, in some cases so extreme that only the exons at the very 3' end are covered, with the rest of the regions having close to no reads at all. This bias is particularly pronounced in genes with long transcripts.
I'm aware that using oligo-dT priming is known to introduce a 3' bias into RNA-seq data as the reverse transcriptase will not always be processive enough to reverse transcribe in one go, but I'm at a loss to explain why the approach above might generate 3' bias if random hexamers were used.
Could anyone suggest any ideas as to what the possible causes of 3' bias in RNA-seq data might be? Are there any causes other than oligo-dT priming?
Would also really appreciate a link to a paper if one exists. Thank you!
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This could be due to the mRNA being somewhat fragmented even before the polyA+ capture. RNA is fragile stuff.
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Hi everybody,
I am using the mMESSAGE mMACHINE Kit (Ambion) to generate capped mRNAs in vitro, but since I also want to add a polyA tail to those transcripts, I decided to use the Poly(A) Tailing Kit  (Applied Biosystems) which is the recommended one for capped mRNAs generated with the mMessage kit.
The polyA tailing kit suggests to use 'a completed, DNase-treated mMESSAGE mMACHINE reaction (20ul) at room temperature'. My question is if that RNA needs to be previously cleaned-up from unincorporated nucleotides and enzymes or if it can just be use straight after the DNase treatment step.
I have previously used a different kit for polyadenylating which required 10ug of a cleaned-up capped RNA as input material for the polyadenylation step, and this is why I am concerned about including (or not) this extra clean-up step (I know for sure I will need to clean up after I have my polyadenylated products...my concern is if I also need to do it before).
I would appreciate any suggestion on this matter.
Thanks!
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Hi Natalia,
I recommend doing a clean-up before setting up polyA tailing reaction, as the unincorporated nucleotides may hinder the tailing reaction.
Also, I was wondering if you had any problems with the polyA tailing enzyme? I have tried NEB polyA tailing kit but kept getting inconsistent results, some mRNA were tailed while others were not, despite the reactions being set up in parallel. Any information will be appreciated.
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Hello! I´m looking for programs to transcribe (maybe F4?) and evaluate my qualitative interviews with the Grounded Theory. I would be very grateful if someone had a tip for me. What programs do you work with? Best regards Carmen M.
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All of the major qualitative data analysis programs do essentially the same things, with somewhat different interfaces. So, ATLAS.ti, Dedoose, MAXQDA or NVivo would all be equally useful.
Having said that, however, there are clear doubts about how well suited these programs are for Grounded Theory. In particular, the kinds of "codes" that GT generates are typically different from the kind of "tagging" that is the bes fit for this kind of software. I suggest you look at the examples of coding that Charmaz provides in Constructing Grounded Theory and then assess how well you could pursue that kind of coding strategy with qualitative software.
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Hello everybody,
a colleague of mine is doing multiple case study research using narrative semi-interviews. She is aiming to conduct between 20 and 30 interviews and she has already interviewed a number of participants. The interview duration ranged between one hour and a half to three hours. The nature of her research question necessitates interviewing some of her participants in their native language ( dialectal Arabic ) . She wants to know if it is compulsory that she first transcribes the data in Arabic before translating it to English ?. Considering the number of interviews and their duration, transcribing them before the translation will be very tedious and time consuming and she does not have much time left for the analysis; she was wondering whether it is permissible to directly translate the general meaning of the interview data to English without transcribing it in Arabic and if that is possible are there any trustful resources that she can cite to justify her choice.
Thank you in advance
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I would not recommend the online translations or transcribing facilities. It is better to transcribe some samples
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Dear Researchers,
For the molecular identification of fungus,
why usually use the three regions internal transcribed spacers (ITS), Small subunit (SSU), and large subunit (LSU)?
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The genes you mentioned of are more reserve and stable
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My gene of interest is 6900bp, and I have successfully cloned it to the PGMET vector (promega), after linearization, using the kit (thermo scientific K0441) to do in vitro transcription, but I got bands in the attachment. My question is:
1. why I got many bands smaller than the actual size. I have added with RNAase inhibitor, and make the whole process without RNAase contamination.
2. Is it uncompleted linearization causing this? I do the transformation after linearization, I got about 10 clones on the plates, this uncut plasmid could cause this problem?
3. Is it because this gene is too large? but I have seen some examples transcribing more than 9000bp.
4. Could pre-termination of transcription explain this? but I have used both T7 and SP6 RNA polymerase (will transcribe sense and antisense if it works ) to do the transcription. Both I got bands like this.
So frustrating to do this repeatedly. But I still can not find the reason. Hopefully, someone can help me solve it. Thank you.
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Hi Yang,
According to your result, I have a couple of question below:
1: Did you run a denaturing gel or native gel?
2: Did you purify your linearing template fro gel? What enzyme did you use?
I have experience of 10kb in vitro transcription with promaga kit, it worked well. contact me if possible. Thanks.
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I have transcribed one type of structural RNA (~500 nt long). For the downstream experiment, I need to confirm its proper folding. In literature, I have found people just heat the RNA at 95 C and chill it in ice for refolding. Do you have any idea, how to check the difference in the folding of these two types of RNAs (just in vitro transcribed and heat treatment after transcription)?
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There is one way to do so is by using circular dichroism (CD). You can use unfolded RNA as a control. Another way that is a bit complex is to do NMR based analysis.
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Considering that I am in the middle of transcribing/translating audio files, can I make use of ATLAS.ti or NVivo (or any other) to organize my data? I used unstructured interviews and some of them were deep, lengthy conversations. Which is a better software for managing ethnographic data and analyzing narratives? Thanks
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Dear Medhavi Gulati,
NVivo is a good package for coding and organizing the narrative data, especially if you have a medium- or large-sized sample.
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Hi all,
I would like to fluorescently label mRNA that we will be delivering to MoDCs. I'm going to perform microscopy (Axios Imager D2 if that's relevant) to see localization of the specific mRNA within the cells. This mRNA is from a vendor so I can't transcribe it myself. Any thoughts?
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It doesn't sound like a good idea to use a fluorophore-labeled mRNA for imaging purposes inside cells. Instead, you would try a hybridization probe against your mRNA with their related amplifiers to make it visible. Otherwise, labeled single mRNA molecules will likely be stay below the signal detection threshold under a microscope even with 63 or 100X objectives. I have been using the RNAscope system to visualize endogenous mRNAs at single-cell resolution, which I think what you need. In your case, you may request your vendor to use synonymous codons for certain amino acids if need in order to avoid cross-labeling endogenous mRNA. But sample processing is quite tedious, though could be very accurate.
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I conducted a semi structured interview to parents about their experiences as modular facilitators during the pandemic. I would like to ask that when transcribing the recorded interview, is there a need to also include the follow up questions in the transcript along with their answers, or I will just include their answers to the follow up questions in the original set of questions validated by the evaluators?
Thank you in advance!
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Simon Stephens Thanks for your valuable suggestion. Mel Nano Thanks for asking this question.
Regards,
Nandan
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I am working with a plant with multiple sequences of rRNA genes as determined by rRNA-gene PCR, cloning, and Sanger sequencing from a single plant. We are now doing reverse transcription, cloning, and Sanger sequencing to see if these multiple sequences are actually transcribed. I was also looking for a company that does RNAseq to answer this questions, but all I am finding is how the companies can eliminate all rRNAs (since they are super-abundant) before doing RNAseq. Are there companies that will skip the rRNA elimination step, since all I really want is those sequences along with an indication their relative abundances? I have a question in with GeneWiz but thought I would also has here. Thanks!
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Dear David,
When preparing the RNAseq library, just omit the rRNA depletion step. If it is done by a company, ask them to prepare the library without rRNA depletion - it should not be a problem. However, for the data to be meaningful, it is necessary for the individual rRNA genes to be sufficiently divergent to be able to distinguish them in the sequencing data. Best,
Libor
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Hi all, I have been trying to look to understand which promoters are recognized by e.coli and which are not. I have difficult in finding the list of promoters. Currently I am using 5xUAS-E1B promoter but not sure can the protein be expressed in E.coli during the transformation.
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Please go through the following site.
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I have a set of experimental RNA samples at low concentrations (55ul each, at 10-25ng/ul concentration range). My end goal is to prepare enough cDNA from these samples to be able to run several Taqman assays to measure expression of a variety of genes. I intend to use Invitrogen SuperScript IV.
Typically, I would use 11ul of RNA at 200ng/ul (i.e. 2.2 ug total RNA) in a 20ul RT reaction; and after the RT add 200ul of water, thus resulting in 220ul of cDNA at 10ng/ul... enough to run over 40 Taqman reactions if 5ul (50ng) is used per reaction.
Given the lower concentration of my current RNA samples, I would like to reverse transcribe all 55ul of my starting RNA, in a larger 5-fold scaled-up RT reaction (100ul total reaction volume). I obviously would have to proportionally scale up my buffer components, but is it necessary to also scale up my Superscript (in order to maintain its final concentration, so that it does not become too dilute in the reaction tube), or is it sufficient to use the same quantity of Superscript, given that the ratio of Superscript:RNA would still be well within the unit-capacity?
In short, which is the more important factor: superscript reaction concentration, or Superscript:RNA ratio? Thanks!
Frank
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Dear Frank, in scaling up RT volume like 5x (100 ul) total reaction volume in case of several genes to perform, there is no need to add more superscript (RT enzyme mix), if your total RNA in 5x reaction is within the range of RT enzyme capacity. I have done this several times, without any problem, and never found any issue in ct values or even in cDNA quality and quantity. With an example I can give you the idea;
RNA in sample is 150 ng / ul (total elution 70 ul lets assume)
If SS IV capacity is 2.5 ug of RNA per reaction (20 ul cDNA reaction) (follow the kit).
If, I decided to transcribe at least 1500 ng RNA in total for a 5 x reaction, so
for 1500 ng we need to take 10 ul from our sample (1500/150) but since we want in 5 x (or 5 times) so 10 * 5, so take 50 ul of your sample RNA in order to make a
5 x reaction, but now what about the SS IV volume!!!
(You can even go above 2000 ng of RNA for each sample, but must be below the RT enzyme capacity, which is 2.5 ug as per the kit) and this is only done if your all samples have quite good RNA.
So, if as per your kit protocol you need 4 ul of SSIV mastermix+enzyme for a 20 ul (1x) cDNA reaction, which is actually meant for 2.5 ug RNA in total, but here now we have 7500 ng RNA for a 5 x reaction, so you need only 12 ul of RT SS IV mix (7500*4/2500) instead of using 20 ul of SSIV enzyme mix for a 5 times reaction. As, the total RNA we are making 5 x is in the range of our RT enzyme conversion capacity. If for a 5 x cDNA reaction you will take 20 ul RT enzyme mix ( 4ul per reaction as per kit) so it can actually transcribe now up to 12500 ng of RNA, whereas we have only 7500 ng of RNA with us for a 5 x reaction.
Regards....
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Does anyone have suggestions on software that has been particularly helpful in transcribing and analyzing data recorded during focus groups? We have some money from a grant that can be used to purchase licenses. Any insight would be helpful. Thank you.
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Does anybody have experience using Raven Pro for the analysis of recorded literature?
Thank you,
Víctor
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Hi, I wish to perform ddPCR for miRNAs in plasma. I have total RNA which needs to be reverse transcribed and ddPCR amplified. What platform do you recommend for the RT (except for Taqman) considering that RNA levels in plasma are <10ng? Also what PCR probe/primer can work?
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Iddo,
try miRCURY LNA miRNA PCR System from QIAGEN. It contains everything for all steps of RT-qPCR (RT reaction, PCR SYBR Green master mix, miRNA primers, Spike-In controls) and always gives me very good results. Especially for samples with small RNA concentration.
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I have been studying an expression of a gene that I called DET1, which involved in cyanide detoxification. This gene has a transposable element (TE) inserted into the gene. As a result, its transcript was truncated.
I removed the TE from the gene (DET1_NoTE) and overexpressing it in arabidopsis. For a control, I found an orthologous gene from arabidopsis, AtDET1. As expected, overexpression of DET1_NoTE was comparable to AtDET1 as shown in a cyanide detoxification assay.
However, when DET1_NoTE and AtDET1 were expressed under either DET1 promoter or AtDET1 promoter, the AtDET1 plants appeared to have a significantly stronger cyanide detoxification ability when compared to DET1_NoTE plants.
This makes me wonder if, after the TE insertion that alters the transcriptional start site of DET1, mutations could have been accumulated in the regions that no longer got transcribed and hence breaking down the relationship between the gene and its promoter, and this could be viewed from DET1 promoter and DET1 is no longer working efficiently.
Is there any similar observation that you might know of?
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Dear Vy Nguyen Yes, I think so.
Regards!
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EDIT: The problem turned out to not be with my isolated RNA, my synthesised cDNA, or any of the other components. Instead, I missed that the setting for the reference dye was set to "ROX" instead of "None".
I isolated RNA from cells and transcribed it into cDNA which I then used for a qPCR. In the first run, only a few wells yielded a CT, for most I received an "undefined". I re-ran the experiment with the same result, and I'm not sure what the problem could be, because:
- Both runs resulted in 10 primer-sample combinations for which I had a CT. However, those were not the same combinations both times
- All primers have at least one result with a CT
- All samples have at least one result with a CT
- The primers have worked before
- All are using the same master mix with SYBR Green (with different primers in each mix, of course) which has also worked very recently
- I'm using a template for the run parameters that has worked before
Technically, it should not be the primers, not the samples, and not the master mix. But what else could it be? I consider re-synthesising my cDNA and repeating the experiment, but I'm unsure this will fix anything.
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You could run electrophoresis for some 'negative' wells of qPCR bringing at least one sample whose ct is visible, in this way you might see whether amplification has occurred. Anyway, sometimes you don't see ct because of the quality/ quantity of samples. In this case, I usually quantify again samples and dilute CDNA increasing the quantity of sample used in qPCR, before doing another retrotranscription. Eventually, check RNA quality.
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I am considering using automated transcription software to transcribe highly sensitive interviews. Would appreciate any advice.
Regards
Catherine
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Thanks Mohamed-Mourad Lafifi, the papers were very helpful
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What do you think, is it legit to campare focus groups that were conducted online with focus groups conducted "face-to-face"? Both online and face-to-face focus groups were held by same moderator using the same guidline (or a similar set of questions), all groups were transcribed vebatim and then categorized by means of a "narration analysis". Additional "field notes" for non-verbal sings were taken. However, I do have some concers, because face-to-face focus groups allowed more insights into non-verbal communication and interactions of participants, compared to online FGs. Thank you for your answers.
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thank you very much for your answers, this is indeed very helpful. Since we will focus on the content (and not "how it was said") , we will probably be able to compare the two....
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I have a 700bp ITS PCR product. What can I interpret?
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Yes, we (perhaps) can identify a fungi through the ITS
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I have been trying to find a research collaborator, but haven't been successful due to the cross-disciplinary nature of the research. Below is the description of the research project.
The project was a Mitacs (https://www.mitacs.ca/en) sponsored research project which aims to uncover challenges and issues in inter-government collaboration pertaining to innovation under the Canadian contexts. Seventeen interviews with government officials from various levels were conducted and transcribed. As our lead researcher has decided to move on with her entrepreneurial pursuit, we are looking for a researcher who is an expert in innovation ecosystems and Canadian public policies on innovation to take on and publish the project results.
Any tips/pointers would be greatly appreciated!
Lin
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Hi Linying Dong,
  1. Write a job offer in a widespread medium or during a conference (online and offline).
  2. Ask for CV's for the required profile and project description.
  3. Select the best three CVs and invite the three researchers for an interview.
  4. Your interview board can be yourself, preferably with some colleagues in the same field of R&D.
  5. Select the top ranked researcher, matching your criteria best!
I figger she/he will be a good colleague for your project. Take months to get the job done.
Lots of succes Linying,
Frank
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I'm trying to study the interplay of NOX5 and osteopontin in regulating ROS levels in microglia. In theory, NOX5 activity should eventually lead to the transcription and production of iNOS and OPN, the latter of which then suppresses iNOS transcription. With that said, I'm not sure exactly how fast this process occurs, so I'm using an Incucyte system to monitor the cells over time.
The problem is that I want to see not just an increase in ROS, but also an eventual decrease once OPN is transcribed. All the kits I've found rely on oxidizing the reagent, creating a permanent signal. Has anyone used a kit where the fluorescence could drop off as ROS are eliminated?
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Dear Nai-Kei)
That's amazing question. And the way you put the task is really great.
I do not know exactly, but may be electron spin resonance method can give you what you seek. Try to google this technique.
Best in your research)
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I recently tried an artificial-intelligence software program, otter.ai, on several transcribing tasks. I was very impressed with the job that it did on single person speaking clearly, so I suspect it would be a good tool for individual individual interviews.
At other extreme, however, I gave it a low to moderate quality recording of a six person focus group and the results were essentially junk.
That makes me curious about what kinds of experiences others have been having with this latest generation of transcription software.
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Hi all,
I am conducting oral history interviews in Spanish. From the interviews I have conducted so far, I have found transcribing them to be an impossibly slow process. Even with transcription software, it is taking me about an hour to transcribe 3 minutes of audio, not helped at all by the fact that Spanish is not my first language.
Can anybody recommend any audio transcription SOFTWARE which could help to transcribe my already-recorded audio files (interviews)? I say software because I have a budget to ask for software but not for paying somebody to transcribe. A few people have recommended Dragon (by Nuance).
Any help greatly appreciated.
Tom
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Hi
Gemma Ruiz
, I used Dragon NaturallySpeaking. To be honest, it hasn't been great and it struggles to transcribe if there's any background noise. A colleague of mine found Trint to be very good but it's a website, rather than software and quite expensive. Unfortunately, I had to buy software because I needed a one-off purchase.
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We are working on a qualitative project that uses telephonic interviews. Most of the interviews have been transcribed so we want to start the coding process. We cannot afford Atlas.ti or NVivo, but many open source software programs either do not cater to multiple collaborators or are limiting. For example, we found Taguette really easy to use however it does not support nested/hierarchical coding or the visually pleasing multiple coloured highlighting.
Could you tell us about any other open source softwares that would overcome the above-mentioned shortcomings? We're open to using Google Docs and Sheets, however, to be honest we are still figuring out how to go about it without causing issues in the later stages.
Note: We're really new to qualitative data analysis
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QDA Miner Lite is free, and works well for basic qualitative data analysis.
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I attempted to perform qPCR using primers for 4 genes that I had previously validated without any problems. I am using PowerUp SYBR Green mix with 5 pmol primers in 25 uL total volume. This is my first time using these particular samples--cDNA was transcribed from diluted samples of RNA that had been treated with DNAse III. 2.5 uL of cDNA equaling 2.0 ng was added to each well.
There are three shapes present in the amplification plot, which appear like early plateauing, an upside down sort of plateau in the middle of the curve, and the normal noise seen at the start of successful qPCR attempts. I have never seen anything like this before, and I typically use very low concentrations of cDNA like those I used here. I have read that these shapes are typically seen when overabundant template is used, but I really can't see how that would be the case here. There is no pattern in terms of these three shapes in the plate--samples in duplicate frequently display distinct shapes, some registering cT values and some appearing undetected.
If anyone could help explain potential causes of the error in this protocol I would be extremely grateful.
Thank you!
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The spoftware obviousely had a problem with background correction. You can try to set the correction parameters manually. If this also does not work, you could use a different software to analyze the amplification curves.
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I have many interviews to transcribe and doing so manually would take a significant amount of time.
I also do not have money to pay for a transcription service.
Are there any free programs that will automatically transcribe an audio recording?
**EDIT**: To be clear and address some of the answers to this question, this question is not an attempt to get other researchers to find this information for me. Prior to posting this question, I looked around at previous questions on ResearchGate and recommendations on other websites. Most of the free software I've found either doesn't work very well (e.g., only records one person's voice, misunderstands a significant amount of audio) or required a level of software development experience that is beyond me.
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I'm a bit confused by your question. If you simply paste your question into any common search engine, you will see that there are many S2T options. Whatever form your source data, you will need to impose your own the conceptual classifications on the content. A machine translation program cannot do this for you because it has no "idea" about your research hypothesis, methodology, or rubrics.
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Hello,
I am struggling with the following:
I have asked how and what questions regarding student experience of exams.
I have used participant-observation (students), semi-structured interviews (students) diary & focus groups (staff).
I have generated some theories from the limited research about their experiences/parental pressure/securing 1st place university choice.
I am struggling to analyse the data captured. I am not sure whether I use IPA or thematic analysis to transcribe, code & interpret.
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IPA usually involves an intense analysis of a small number of cases, so thematic analysis would probably be more appropriate. Since you already have some theoretical insights, you can begin with a set of deductively generated codes, and then inductively add more codes as you gain a deeper understanding of the data. Fereday and Muir-Cochrane (2005) call this a "hybrid" approach to coding.
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I research plant use, and indigenous medicine, especially related to Ireland. Irish indigenous medicine was influenced by Greek medicine between the 14- 16th centuries as the European herbals were transcribed into Irish for use in Irish medical schools during this period. After the collapse of the Gaelic order in the early 17th century some of this knowledge seems to have blended with the Gaelic oral tradition, remnants of which we still have today.
Regards
Rosari Kingston PhD, MSc (Herbal medicine)
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Thank you
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Hi everyone. I need to conduct some interviews for a project. I've never done this before and would like to ask for advice on the best (a) equipment - encrypted voice recorder, and (b) transcription software which ideally performs voice recognition. Also, having never done interviews before, would anyone know a rough estimate of the number of lines I would need to transcribe for a 20 minute semi-structured interview? Thanks in advance! Karen.
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Thank you Anki Wikman
That's very helpful indeed and much appreciated :)
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Should postgraduate students be required to transcribe research interviews or can they be allowed to analyse their aural (recorded) data? I have a postgraduate student who wants to analyse her aural data and not transcribe it. I would prefer if she transcribed the data and then analysed the transcripts as I believe this is good practice. Which approach is preferable or are both acceptable?
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I agree with Elias as well and in my opinion it is much easier to use the data if it is in written format. If you don't want to do the transcription yourself you can always outsource the work.
My company provides transcription service in English, Swedish and in Finnish. More information can be read from our website: https://spokencompany.se.
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Any good resources here would be helpful, I am specifically wondering about fungal ITS copy number within ascomycetes. I keep reading that ITS has a high copy number however ranges of the copy numbers seems to be left out.
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Dear Cameron,
You can find useful information about ribosomal DNA (which includes ITS) copy number in fungal genomes in this recent paper:
Best,
vincent
--
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Does anyone know any good app/program that could transcribe audio files in different languages (interview recordings) to text files? Cheers!
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I wrote about the different tools/apps/software in this blog: https://ocean.sagepub.com/blog/whos-disrupting-transcription-in-academia
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I ran a PCR of reverse transcribed RNA samples using a primer combination that should amplify two splice variants of a gene.
One of the splice variants should be 399bp in size, while the other should be 220bp.
But when I ran the gel, I found a third band had also been amplified, around the 100bp region (see image attached).
I do not think it is primer dimers because I used a dH2O control (mastermix+primers+water instead of sample) to detect contamination in the mastermix and primer dimers, and there is no band on this lane.
Does anyone know what this band could be?
Or at least, does anyone know if this could be a genuine mRNA and not just an artifact?
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Thank you for the details added. You are right, definitely not any artifact derived from primers.
I am wondering, whether did you apply any DNAse treatment? and, if you blast your primers how many hits do you get?
Good weekend
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Hi,
I am working with a gene that transcribes both a sense and antisense transcript. I want to determine their expression relative to each other in one sample, i.e. sense transcript is expressed higher than antisense transcript at one condition.
I did qPCR and have Ct values for sense, antisense and GAPDH. For example:
Sense Ct - 25
Antisense Ct - 20
GAPDH Ct - 19
I can see just from values that antisense expression is higher but how can I display this data to present?
Do I use a standard curve using GAPDH? I'm pretty sure I cannot use the 2^-ddCt method since I'm comparing between transcripts in only one sample.
Thanks for any help!
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follow
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I am investigating the expression of one particular gene in a mouse and am interested in determining the exact mRNA sequence. Is there anyway I can sequence the mRNA transcript of this gene?
For example is it possible to isolate the RNA, reverse transcribe, then use sanger sequencing?
I can't see any examples of this being done and RNA-seq seems like overkill if I am just interested in a single gene.
Any suggestions welcome!
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Hi Kat
Sanger sequencing is possible for only one gene, yes.
it depends on the length (500-600bp is the limit for sanger) but you can also design primers to do overlapping amplicons. if it's for human or other "higher" species, go to the UCSC (http://genome.ucsc.edu), the genome browser allow you also to see additional tracks as already designed and published primers.
fred
ps: further help needed, send me a message.
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I am planning to conduct a focus group study for a preliminary data collection exercise. I am planning to record (audio) the session as well for later transcribing. I have few questions;
1. How do you identify individual person’s discussion in the recording (audio)? In a focus group study, it is potential that more than one person speaks at a time. So how do you identify individuals? Are there any software or tools which identify the individual voices?
2. How do you minimise the outside noise (noises other than the participants discussions) during the focus group? I am more interested in software or tools in this question again.
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The easiest way to achieve 1 is to use individual micrphone for each speaker, if you seek to sowtware solutions, the best would be using Speaker Diarization Software, such as VoxSort Diarization or CLEAVER (Oxford Wave Research)
For 2, the previous answer is correct, you can use software such Adobe Autidion o iZotope to process the audio
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Hello!
I am currently sifting through a large amount of data including interview transcripts and photo-documentation of elementary student artwork and writing. As of right now, the coding system I‘ve developed doesn’t unite the image and text data sources, instead I find that most images are coded with one set of codes, and text is coded with another. The images are all photos of student journals which include writing and drawing. Some examples of codes I’ve used on many images are : “representational demonstration of comprehension” or “4 sectioned layout demonstrating comprehension”. These codes do not apply to any of the transcribed interviews. When I look at the data as a whole, I find that the images and text are separated by the codes rather than informing each other. I’d love any information or article/book suggestions about how to develop a coding system that creates a dialogue between image and text, so that the two inform the other. Or perhaps I’m wrong in thinking that the coding is where this interaction will occur? If that is the case, what suggestions do you have to look at and interpret two different types of data both describing the same event?
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To my understanding, coding enables you to have specific themes generated from your own notes that elaborate your understanding of the interview transcript. If that is so, you need to study the pictures and see what themes they suggest. Mind you, coding may not give accurate themes. In qualitative research, you may need to go back to transcripts more and more again to generate more theme.
Similarly, I totally agree with what colleagues have said up👆.
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Transcribing can be time consuming. Under some circumstances, I think it is not necessary to transcribe the whole video data (let's say, interviews) or some part of them for qualitative analysis only if the participants can be clearly tagged in operating the data collection.
I was wondering if it is a must to transcribe all video data?
Many thanks.
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I agree with David - technically you do not need to transcribe. There are programmes with which you can directly code video segments (with several consequences, such as the fact that you have no text on which you can e.g. perform a verbal search for specific words!).
However, for me the key question would rather be: Why did you use video in the first place? Did you want to record aspects beyond verbal communication? Because in that case the more funddamental question would be how shoud I transcribe the videos? There are numerous ways to deal with the amount of information available in videos. Some authors argue that video itself is not data, but a source for data which you create in the process of transcription. So the way you make your video accessible for your analysis should relate to your overall research question, i.e. the way and extent of your transcription has to serve your analytic process.
If you want to read about the argument "video is not data, but a resource for data construction", I recommend Erickson otherwise Heath et al. provide a good overview of the issues at stake.
Erickson, Frederick (2006). Definition and Analysis of Data from Videotape: Some Research Procedures and Their Rationales. In Judith L. Green, Gregory Camilli, Patricia B. Elmore, Audra Skukauskaiti, & Elizabeth Grace (Eds.), Handbook of complementary methods in education research (pp. 177–191). Mahwah, N.J.: Lawrence Erlbaum Associates.
More generally the following book is useful for an overview of different ideas for transcription:
Heath, Christian, Hindmarsh, Jon, & Luff, Paul (2010). Video in Qualitative Research: Analysing Social Interatcion in Everyday Life. Introducing Qualitative Methods series. London: Sage.
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I am currently developing RPAs for the detection of flaviviruses, however I am struggling a bit with determining the minimum detection limits of my assays. I performed ten-fold dilutions on transcribed RNA (Starting concentration of 8.24 ng/microliter), and performed RPA for dilution 104 , 103, 102 and 101. I followed the guidelines given in the package insert of the PCRD detector sticks, and I was able to only detect 104 (6 microliter amplicon with 84 microliter buffer). According to other articles, my assay is suppose to detect at least till 102. What is a suitable dilution for the lower concentrations?
Any help would be much appreciated!
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I suggest you use a more efficient reverse transcriptase
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I need something inexpensive that works in Portuguese.
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If you find such a tool - let me know ;-)
Have you heard of this?
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I am PCR amplifying the ITS region of Fusarium oxysporium f.sp. zingebri fungi using primers ITSF1/ITS4 . I know the amplicon length is highly variable. I am doing the phylogeny of those fungal strains. I need a reference sequence for ITS and EF-1. I cannot find this information in the literature. Can anyone provide any assistance?
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Thank you so much Ram and Cristobal
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While explaining DNA transcription diagrammatically, we show two strands, the non-coding strand drawn as the upper strand running 5' to 3' and the coding strand or template strand, drawn below the non-coding one and running from 3' to 5' direction. Does this orientation remain the same for every gene transcribed or does the upper strand sometimes become the template and vice versa depending on the gene transcribed?
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Thanks for the nice question. I simply translate the whole thing like this:
(1) The coding strand = the sense strand = the strand which corresponds to the base sequence of the RNA transcript
(2) The noncoding strand = the antisense strand = anticoding strand = template strand = transcribed strand
That is, a coding strand is a strand which contains the codons. On the contrary, non-coding strand is the strand which contains the anti-codons. The coding strand is the strand of DNA that has the same sequence as the mRNA transcript. It takes the antisense strand as its template for transcription and eventually undergoes translated into a protein. The sequence from which you can infer the exact sequence of the protein to be translated, is the sense strand. Therefore, only the mRNA (=DNA strand that corresponds to it) makes sense with the genetic code. The other strand of DNA is complementary to the sense strand that is the actual template used by the transcription bubble to produce mRNA.
The general idea is, both coding and non-coding strands are important in the replication.
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I am considering the merits and drawback of using the service as opposed to self transcribing and//or paying someone else to do it
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I used NVivo Transcription and did not like it at all. I found Otter to be better. It uses AI technology and is much cheaper. You can check it out here: https://otter.ai/referrals/2VMC7850
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I am transcribing interviews and I encounter some curse words that I would like to avoid in transcriptions. I do not find them important in the context of further analysis. I would keep them in my materials, but I would like to avoid them in the thesis quotations and the publication... How shoudl I proceed? Can I write e.g. "This is ... crazy!" or what should I write?
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I'll second Dean's answer. Don't change the text but you can censor using any of a variety of techniques. I found this elsewhere:
In research, you should quote them verbatim. Editing, or censoring, swearing is wrongly representing your research subjects and is thus a form of scientific misconduct. If you need to edit the quote for specific audience you must make it clear that you have done so:
It's just so [obscenity] slow, it really [obscenities] me off.
With a note saying that you have edited the text to remove swear words.
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The EM image of E.coli mRNA being transcribed by polysomes by Miller et al. in 1970 became iconic The sample preparation, however, seems particularly involved.
I want to know what options I have today if I want to image transcription (from a plasmid) and/or translation in E. coli?
Thank you very much
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There is a great, molecularly correct, movie of translation in this movie called:
The Molecular Basis of Life
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I've been told not to transcribe my data due to time constraints of my research, But I don't know how to 'code' my data, I just seem to be transcribing sections that I think could be important??
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I agree with my colleagues (except in the issue of using "volunteers". All work should be payed. Using other people's time without compensation (learning only shouldn't be one in my opinion) is also an ethical issue Jérémie Richard). In similar situations I've used Audacity (a free audio editing tool). It allows you add notes to the graphic representation of sound files and save them as project files. Maybe that's the droid you're looking for ;)
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Self transcribing is slow but helps the the researcher to identify the ideas from the start. Using a paid service is faster but may not be ethical since the data may be sensitive to share. Software is fast but inaccurate.
So, what is the best way to transcribe the interview data for any qualitative research?
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My approach to capturing nuances in the data is to hire a transcriber, and then listen to the interview while reviewing the transcript. That way, I can both catch any errors that occurred and add any details that might not be apparent from just the text (e.g., whether some thing was said as a joke or sarcastically).
With regard to ethical issues, a major factor is whether you have promised your participants confidentiality or anonymity. Since the second option is rare in qualitative interviewing, then the next issue is whether anything in the content of the interview would potentially violate confidentiality, and this primarily occurs when there is enough detailed information that would potentially allow the interviewer to identify the participant.
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I need a 2nd and 3rd coder. To generate codes. Categories and themes. Use Atlas.ti. 14 transcribed interviews on health services and the importance of cultural competence in the delivery of services. Do I have an will participants happy to assis and publish together if time permits
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First, it is not required that you have multiple coders or calculation of inter-rater reliability in doing qualitative analysis. The sub-field where this is most common is in quantitatively oriented content analysis, where you want that kind of precision because you typically count the codes. So, I recommend that you look at the kinds of journals where you hope to publish and see if those articles routinely report using multiple coders, rather that feeling that this is a requirement.
Second, comparing the work of multiple coders is usually done at the level of the codes themselves, to make sure that there is a consistent labelling of the text. It is much less common to compare the creation of categories, and such comparisons are almost never done with regard to the creation of themes. The work of generating the final summary of the analysis in terms of themes is almost always the responsibility of the main author or of co-authors who have worked together throughout the research process.
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I m doing RTs with a gene-directed primer on 1ug of RNA and it works great (I use quantitect from Qiagen). Last time , after my Reverse transcription with this gene-specific primer, I added by curiosity to my QPCR mix (in plus of my gene of interest primers/probe) the primers/probe used for the reference gene I used in my regular QPCR. While I used a gene directed primer that is not targeting my reference gene RNA, I see a consistent amplification of my reference gene in my QPCR wells (Ct 22). I reverse transcribe 1ug of total RNA, and the Ct of my reference gene is the same everywhere showing the quantity is the same in every wells (at leats, it s the case for my standard curve). I have 2 questions: Does anybody knows why I amplify cDNA from my reference gene while I use a primer directed against another gene in the RT before? Secondly, since the detection of my reference gene in QPCR shows great consistency (even if I can rt explain why I see it), could I use it as a way to double check the quantity of RNA I have at the beggining?
Thanks you guys!
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I reverse transcribe my gene of interest with a specific primer using Quantitect which is a one step kit for RT PCR. Once my DNAs synthesized, I use Taqman for QPCR on these DNAs. If I add to the mix, in plus of my probe/primers for my gene of interest, a probe for a reference gene, I observe an amplification with both. I don t understand how my reference gene is detected while I did not use a primer specific for it in my RT, just a primer specific to my gene of interest.
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Hello colleagues!
I have been to trying to express a human gene but after encountering many challenges, i took a pause to revaluate my strategies. For mammalian genes particularly those that code for enzymes, i know their resulting transcribed mRNA come with a bunch of introns. Do i need to clone cds instead of cloning an entire gene into the plasmid?
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...sure, you should clone the cds instead of the complete gene if you want to express a human gene with intron-exon structure in bacteria, because they do not enable the splice process. Moreover, your plasmid should support prokaryotic gene expression for the inserted sequence. For a high protein expression it may be necessary to optimize the codon structure of the human sequence.
Good luck
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There are 3 blood samples which is donated by the healthy human. Firstly, we collected the macrophage using the kit to filter it from serum. After that, We transfected our target gene plasmid into the macrophage. Then we extracted the mRNA and protein, also we re-transcribed mRNA into cDNA. However, in the qPCR, there is no difference between experimental group and ctrl in fold change. But in the western blot, it's clearly that overexpression groups are darker than the ctrl which it's should be.
My problem is, if we didn't successfully transcribe the plasmid, there can't be distinctive difference between each other in WB. The evidence may proved that we did transcribe the target gene. The trouble is, no difference in qPCR, nearly same CT. We have redo